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Hyperscience vs OCR

Powered by cutting-edge AI, the Hyperscience Platform combines intelligent OCR technology, computer vision, machine learning, and natural language processing to handle a wide range of document types and formats. This enables our customers to automate with the highest levels of accuracy in the industry for both printed and handwritten text.

Traditional OCRHyperscience
PurposeExtracts text from images and scanned documents.Automates processing of structured and unstructured documents from a variety of inputs (PDF, image, email, etc.)
AccuracyAround 95% for clear, well-formatted text, dropping to 50-70% with handwriting and poor image quality.Up to 99.5% as defined by your business needs, for both printed and handwritten text.
SpeedFaster processing, but lower accuracy and more manual effort to correct mistakes.Slower initial processing, but increased accuracy improves overall processing times.
FlexibilityUsed for well-structured documents where you know the data that needs to be extracted and where to find the data within the document.Handles a wide range of document types and formats, from structured forms to fully unstructured documents like contracts or emails.
CustomizationText extraction only. Often requires additional tools for preprocessing and postprocessing.Adaptable to any business process, capabilities go well beyond extraction, helping customers act on data.
Human-in-the-LoopNone. Errors must be corrected later, often in another system.Machine learning identifies when human input is necessary to ensure the highest accuracy.
TemplatesRequires predefined templates for each specific document variation, often requiring IT or 3rd party support.Template-free. ML handles document variability by learning from day to day processing.
Learning CapabilitiesNone. Needs constant maintenance to avoid making the same mistakes over and over.Uses human feedback to finetune ML models, requiring less human intervention over time.
Adding New Use CasesBetween 2-4 weeks, depending process complexity.Normally 1-2 days, depending on process complexity.